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Paper Citation Record · LEDGER

A Survey on Mathematical Reasoning and Optimization with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.17726.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.17726 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:53:12.361332Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T03:59:32.512194Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b2697bc8-ad10-49f3-ac3c-cd673bc6c02c · inbound

First Return, Entropy-Eliciting Explore cites this paper.

First Return, Entropy-Eliciting Explore A Survey on Mathematical Reasoning and Optimization with Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T18:53:12.361332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:53:12.361332Z digest=sha256:558bc12a421ad3b0b23d39dcb6f1579c1876aeb9f29e7c7b035128cbac5c83ef

Observation fe690e18-7cdc-4a7e-8d44-3e93d004c837 · inbound

Rethinking Wireless Communications through Formal Mathematical AI Reasoning cites this paper.

Rethinking Wireless Communications through Formal Mathematical AI Reasoning A Survey on Mathematical Reasoning and Optimization with Large Language Models

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:11:16.433351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T15:42:24.167986Z digest=sha256:8b3ead3a14d57ea9e57a5d44d5cf19d9438ae568771a5f7e8b8e8fb875419c25

Observation 32a92677-04b7-4742-91b2-aefa6f81d23f · inbound

Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models cites this paper.

Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models A Survey on Mathematical Reasoning and Optimization with Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:38:05.859764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T06:33:30.647965Z digest=sha256:0cb109c42872ff14873ffe7fd5fdbc7fd37cf91ac52e22088e9c2f1a5c8d1cf1

Observation 4aa180e9-b82b-43c7-b01e-5d7890786f40 · inbound

Large Language Models for Operations Research: A Comprehensive Survey cites this paper.

Large Language Models for Operations Research: A Comprehensive Survey A Survey on Mathematical Reasoning and Optimization with Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:59:32.513604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T03:56:29.983335Z digest=sha256:c048348455df018dd2e62ec497f88d7c035e2e31bd6427098e3a502b946143ec

Observation 90f43d19-a949-4b36-a936-b737c1b3fef1 · inbound

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization cites this paper.

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization A Survey on Mathematical Reasoning and Optimization with Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T18:32:44.995507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:32:44.995507Z digest=sha256:44f2bc05fc29ab432012923a61371e0ee6625044ff92e640265da67466f4c000